Amazon's Secret "Project Nessie" Made Walmart & Target Raise Prices So It Could Look Cheapest

:shopping_cart: Amazon Got Caught Making OTHER Stores Raise Prices — So It Could Look “Cheapest”

A judge unsealed the receipts. Amazon didn’t just lower its own prices — it allegedly leaned on brands to jack up prices at Walmart, Target and Wayfair so nobody could beat it.

The receipts: 1 secret algorithm (“Project Nessie”) · brands named — Levi’s + Hanes · 6 rival stores allegedly squeezed (Walmart, Target, Chewy, Best Buy, Home Depot, Wayfair) · a SEPARATE $2.5B Amazon settlement over Prime traps.

On April 20, 2026, California AG Rob Bonta got a mostly-unredacted filing unsealed in his 2022 lawsuit. Full story at CNBC. The short version below — then what a broke 22-year-old actually does with this.

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🧩 Dumb Mode Dictionary
Fancy word What it actually means
Price-fixing Secretly rigging prices so they stay high instead of competing. Illegal.
Buy Box The “Add to Cart” button on Amazon. Whoever “wins” it gets ~80%+ of the sales.
Buy Box suppression Amazon hiding your product / killing your sales if you dared sell cheaper somewhere else.
First-party vendor A brand (like Levi’s) selling directly through Amazon.
Project Nessie Amazon’s secret price-raising robot (more below). It has a codename. That’s never a good sign.
Antitrust Laws that stop one giant company from bullying a whole market.
📜 How we got here (the 30-second backstory)
  • California sued Amazon back in 2022. Amazon fought to keep the juicy parts secret. For years it worked.
  • April 20, 2026: a judge said nah, and unsealed the filing. The Guardian and CNBC got the details out.
  • This lands on top of a separate FTC deal where Amazon agreed to pay $2.5B for trapping people in Prime subscriptions. Rough month for the suits in Seattle.
🐍 What 'Project Nessie' actually did (this is the wild part)

The data shows a robot doing something clever and gross at the same time:

  • Nessie scanned for products where rivals were likely to copy an Amazon price hike.
  • Amazon raised the price on those items.
  • Rivals matched the higher price (because everyone watches Amazon).
  • Then Nessie held the price high — locking in the increase across the whole market, not just Amazon.

So it wasn’t “Amazon raised its prices.” It was “Amazon used everyone else as puppets to raise prices everywhere, then took the credit for being the anchor.” Read the mechanics at IBTimes.

💪 The strong-arm part (Levi's, Hanes, and a threat)

Per the AG, Amazon allegedly told brands: raise your price on Walmart/Target/Wayfair, or pull the listing entirely.

  • The stick? Buy Box suppression. Sell cheaper elsewhere → Amazon quietly buries your product → your sales evaporate.
  • Named names in the filing: Levi Strauss and Hanes, plus pressure aimed at listings on Walmart, Target, Chewy, Best Buy, Home Depot and Wayfair. (CNBC breakdown)
  • Translation: that “lowest price online!” you’ve been trusting for a decade? Allegedly engineered.
⚖️ The counter-argument (because I always give you both sides)

Before you grab a pitchfork — here’s the thing nobody mentions on the outrage threads:

  • These are allegations in a filing, not a final verdict. Amazon denies it and says it just “competes hard.”
  • “Price matching” is legal and normal. The line Amazon allegedly crossed is forcing others to hold prices high — that’s the difference between competing and colluding.
  • And honestly? A lot of “cheapest price” tricks across retail are legal-but-shady. Amazon’s just the one that got the filing unsealed.

But here’s the thing nobody mentions: the real story isn’t the fine. It’s that this proves cross-platform price gaps are manufactured and unstable. And any gap you can see before the crowd does… is money. That’s the whole game below. ↓

Cool. So Prices Everywhere Are Secretly Puppeted… Now What the Hell Do We Do? ಠ_ಠ

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🕳️ The Gap Sniper

The lawsuit basically confirms: the same product has different prices on Amazon vs Walmart vs Target vs Wayfair — and those gaps move daily. Most shoppers never check. You do — automatically.

Set up a free price-tracker on 20-30 popular items across stores. When a gap opens (Amazon high, Target quietly cheaper), you post it to a deals group and collect affiliate cuts.

:brain: Example: A 24-year-old in the Philippines runs a Telegram “price gap” channel using Keepa (free Amazon price history) + manual Walmart checks. Posts 5 gaps a day with affiliate links. 4,000 subs, ~$600/mo in commissions.

:chart_increasing: Timeline: First affiliate sale in ~2 weeks. Real traction at ~90 days once the channel gets shared. Plateaus when 3 competitors copy your niche — so pick a weird category (pet supplies, craft tools) not phones.

🐍 Nessie's Ghost (the reverse-tracker)

Nessie’s trick was holding a price after rivals matched. You can spot that pattern from the outside: a price that jumps and then sits flat across multiple stores = a probable “hold.” That’s a signal a drop is overdue.

Build a simple watchlist of items showing the “jump-and-hold.” Alert buyers to wait, and sellers to reprice. Sell the timing, not the product.

:brain: Example: A part-time seller in Poland tracks 50 SKUs with a free Google Sheets + price-scraper combo. She DMs small Etsy/eBay sellers: “your competitors are holding at $X, undercut now.” Charges $15/mo per seller for the heads-up. 40 sellers = $600/mo.

:chart_increasing: Timeline: First paying seller in ~10 days (DMs convert fast when you show real data). Burnout risk at ~4 months from manual scraping — automate or cap your client list.

🪟 The Patch Window Sprint

Right now, post-unsealing, brands and rivals are spooked and loosening the exact price-holding behavior the lawsuit exposed. That means unusually messy, mismatched prices for a few weeks while everyone recalibrates.

This is a short window. Cross-store arbitrage (buy cheap on Store A, resell on Store B/marketplace) is fattest exactly when the market is confused.

:brain: Example: A student in Nigeria flips clearance-priced brand apparel from a rival site that panic-dropped prices, reselling on local marketplaces + eBay. Netted ~$400 in the first three weeks of the news cycle.

:chart_increasing: Timeline: Cash in 3-6 weeks. This one has an expiry date — once stores re-sync their pricing bots (mid-2026), the easy gaps close. Sprint, don’t stroll.

📚 Be the Dictionary for 'Ditch Amazon'

Every time a big antitrust story drops, a wave of people search “Amazon alternatives” and “is X cheaper than Amazon.” Almost nobody has made the clean, comparison resource they actually want.

Make a dead-simple, honest comparison page/PDF: same 50 popular products, real prices across 5 stores, updated monthly. First good one becomes the search anchor.

:brain: Example: A 23-year-old in India built a one-page comparison site using free Google Sites + a monthly manual price check. Ranks for “cheaper than amazon [product].” Monetized with affiliate links from each store — ~$800/mo and climbing.

:chart_increasing: Timeline: First traffic in ~4 weeks, real SEO payoff at 3-4 months. Slow build, but it compounds — the page keeps earning while you sleep.

🎣 Bait the Sellers Who Just Got Scared

Third-party sellers just learned their prices can get them buried by Buy Box tricks. They’re anxious and looking for anyone who understands the game. That’s your opening — not as a “consultant,” but as a done-for-you repricing watcher.

Offer a tiny weekly service: you watch their competitors + flag when they’re being suppressed or undercut. Real eyes, real data, one screenshot report.

:brain: Example: A guy in Egypt DMs small Amazon sellers on seller forums, offers a $25/week “someone’s-watching-your-back” report built from free SellerAmp trials + manual checks. 15 clients = $375/week.

:chart_increasing: Timeline: First client in ~1 week (anxiety sells). Scales to ~20 clients before you’re drowning — then you either automate the report or hire, or you plateau around $1.5k/mo.

🛠️ Follow-Up Actions
Want to… Do this
Track Amazon price history free Install Keepa or CamelCamelCamel
Compare across stores fast Try Google Shopping side-by-side
Scrape prices without code Free tier of ParseHub
Understand the actual case Read the CNBC report + Guardian writeup
See Amazon’s other L The $2.5B Prime settlement

:high_voltage: Quick Hits

You want… Do this
:shopping_cart: Never overpay again Check 2 rival stores before every Amazon buy — the gap is real
:snake: Spot a “price hold” Watch for jump-then-flat pricing = a drop is overdue
:money_with_wings: Make money off the mess Run a price-gap channel while stores are recalibrating
:bar_chart: Free tracking arsenal Keepa + CamelCamelCamel
:balance_scale: Read the actual receipts CNBC’s unsealed-filing story

“Lowest price online” was a magic trick. Now you know where the mirror is — go find the gap before the bots re-sync.

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